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Despite the growing popularity of SHVL fashion, there is little empirical focus on the antecedent factors that influence consumers’ intention to purchase and recommend SHVL fashion. Drawing on insights from the stimulus–organism–response framework, this paper aims to investigate the motivational factors influencing the consumers’ attitudes and their intention to purchase and recommend SHVL fashion.

Primary data was gathered from 232 present customers of SHVL fashion products and analysed using the partial least square structural equation modelling.

Research findings show that eco-consciousness, treasure hunting, status consumption and the need for uniqueness were positively linked to intentions to purchase SHVL fashion through the intervening role of attitude. Attitude was positively linked with purchase intentions, which also positively influenced intention to recommend SHVL fashion.

The study findings assist brand managers in understanding how they can cater to the diverse needs of SHVL fashion consumers.

This research contributes significantly to the SHVL domain by examining core antecedents that motivate consumers’ intention to purchase and recommend SHVL fashion.

A pesar de la creciente popularidad de la moda de lujo vintage de segunda mano (SHVL), hay poco enfoque empírico en los factores antecedentes que influyen en la intención de los consumidores de comprar y recomendar moda de lujo vintage de segunda mano. Basándose en ideas del marco S-O-R, este documento investiga los factores motivacionales que influyen en las actitudes de los consumidores y su intención de comprar y recomendar moda de lujo vintage de segunda mano.

Se recopilaron datos primarios de 232 clientes actuales de productos de moda de lujo vintage de segunda mano y se analizaron utilizando el modelado de ecuaciones estructurales de mínimos cuadrados parciales.

Los hallazgos de la investigación muestran que la conciencia ecológica, la búsqueda de tesoros, el consumo de estatus y la necesidad de unicidad están vinculados positivamente con las intenciones de comprar moda de lujo vintage de segunda mano a través del papel intermediario de la actitud. La actitud se vinculó positivamente con las intenciones de compra, lo que también influyó positivamente en la intención de recomendar moda de lujo vintage de segunda mano.

Los hallazgos del estudio ayudan a los gerentes de marca a entender cómo pueden atender las diversas necesidades de los consumidores de moda de lujo vintage de segunda mano.

Esta investigación contribuye significativamente al dominio de la moda de lujo vintage de segunda mano al examinar los antecedentes clave que motivan la intención de los consumidores de comprar y recomendar moda de lujo vintage de segunda mano.

尽管二手复古奢侈品时尚（SHVL）日益流行, 但关于影响消费者购买和推荐二手复古奢侈品意图的前因因素的实证研究却很少。基于S-O-R框架的洞察, 本研究探讨了影响消费者态度及其购买和推荐二手复古奢侈品时尚意图的动机因素。

从232名现有二手复古奢侈品时尚产品的顾客中收集了主要数据, 并使用偏最小二乘结构方程模型（PLS-SEM）进行了分析。

研究发现, 环保意识、寻宝乐趣、地位消费和独特性需求通过态度的中介作用, 与购买二手复古奢侈品的意图正相关。态度与购买意图正相关, 购买意图也正向影响推荐二手复古奢侈品的意图。

研究结果帮助品牌经理了解如何满足二手复古奢侈品消费者的多样化需求。

本研究通过考察核心前因因素对消费者购买和推荐二手复古奢侈品时尚意图的动机的影响, 为二手复古奢侈品领域做出了重要贡献。

Design-based research (DBR) involves multiple iterations, and innovations are needed in analytical methods for understanding how learners experience a learning experience in ways that both embrace the complexity of learning and allow for data-driven changes to the design of the learning experience between iterations. The purpose of this paper is to propose a method of crafting design moves in DBR using network analysis.

This paper introduces learning experience network analysis (LENA) to allow researchers to investigate the multiple interdependencies between aspects of learner experiences, and to craft design moves that leverage the relationships between struggles, what worked and experiences aligned with principles from theory.

The use of network analysis is a promising method of crafting data-driven design changes between iterations in DBR. The LENA process developed by the authors may serve as inspiration for other researchers to develop even more powerful methodological innovations.

LENA may provide design-based researchers with a new approach to analyzing learner experiences and crafting data-driven design moves in a way that honors the complexity of learning.

LENA may provide novice design-based researchers with a structured and easy-to-use method of crafting design moves informed by patterns emergent in the data.

To the best of the authors’ knowledge, this paper is the first to propose a method for using network analysis of qualitative learning experience data for DBR.

The purpose of this paper is to examine the influence of perceived information and entertainment value, perceived credibility and perceived value on Generation Y consumers’ usage frequency of online consumer reviews.

The paper proposes and tests, with structural equation modelling analysis of moment structures, a research model using data from a large sample of Generation Y consumers.

The results confirm that Generation Y consumers perceive online reviews to be informative, entertaining, credible and valuable, and that they frequently consult such reviews. More specifically, the empirical analysis confirms that perceived information value, perceived entertainment value and perceived credibility significantly influenced the perceived value that Generation Y attach to online consumer reviews, which, in turn, was a significant predictor of their usage frequency of such reviews.

The results highlight the strategic importance of integrating online consumer reviews into the marketing communication mix when targeting Generation Y, together with the necessity of having filtering mechanisms to ensure that only authentic reviews are published and the need to implement tactics to ensure that such reviews are informative and entertaining and, consequently, of value.

This study contributes to marketers’ comprehension of strategically using online consumer reviews when targeting the Generation Y segment.

El objetivo de esta investigación es examinar la influencia del valor de la información, del valor del entretenimiento, la credibilidad y el valor percibido en la frecuencia de uso de las revisiones online de los consumidores por parte de los consumidores de la Generación Y.

Este documento propone y contrasta, a través de los modelos de ecuaciones estructurales (AMOS), un modelo de investigación que utiliza datos de una gran muestra de consumidores de la Generación Y.

Los resultados ponen de relieve la importancia estratégica de integrar las reseñas de consumidores en línea en la combinación de comunicaciones de comercialización al dirigirse a la Generación Y, junto con la necesidad de disponer de mecanismos de filtrado para garantizar que sólo se publiquen reseñas auténticas y la necesidad de aplicar tácticas para asegurar que dichas reseñas sean informativas y entretenidas y, por consiguiente, de valor.

Los resultados destacan la importancia estratégica de integrar las revisiones de los consumidores en línea en el mix de comunicación de marketing cuando se dirigen a la Generación Y, junto con la necesidad de contar con mecanismos de filtrado para garantizar que solo se publiquen revisiones auténticas y también se implementen tácticas para garantizar que las reseñas sean informativas y entretenidas y, en consecuencia, de gran valor.

Este trabajo ayuda a los especialistas de marketing a comprender como pueden utilizar estratégicamente las opiniones de los consumidores online para dirigirse a los consumidores de la Generación Y.

Several disciplines and thousands of studies have used, developed and supported technology adoption theories to guide industry and support innovation. However, within the past decade, a paradigm shift referred to as the fourth industrial revolution (4IR) has resulted in new considerations affecting how models are used to guide emerging technology integration into business strategy. The purpose of this study is to determine which technology adoption model, or models are primarily used when assessing smart technologies in the 4IR construct. It is not to investigate the rigour of existing models or their theoretical underpinnings, as this has been proven.

To achieve this, a systematic literature review based on the preferred reporting items for systematic reviews and meta-analysis methodology is used. From 3,007 publications, 125 papers between 2015 and 2021 were deemed relevant for thematic analysis.

From the literature, five perspectives were extracted. As with other information and communication technology studies, the analysis confirms that the technology acceptance model remains the predominantly used model. However, 105 of the 125 models extended their theoretical underpinnings, indicating a lack of maturity. Furthermore, the countries of study and authors’ expertise are predominantly clustered in the European and Asian regions, despite the study noting expansion into 16 different subject areas, far beyond the smaller manufacturing scope of Industry 4.0.

This study contributes theoretically by providing a baseline to develop a generalisable 4IR model grounded on existing acceptance trends identified. Practically, these insights demonstrate the current trends for strategists and policymakers to understand technology adoption within the 4IR to direct efforts that support innovation development, an increasingly crucial factor for survival in the digital age. Future research can investigate the additional constructs that were impactful while considering the level of research they were applied to.

Today’s society interest in mobile photography drives consumers’ and brands’ growing usage of Instagram. This paper aims to address the consequences of excessive use of Instagram on the negative feeling of losing information when not connected and the emotional fatigue resulting from an overcharge with new information. The mediating role of addiction between Instagram overuse and the two outcomes is also analyzed.

Data from 342 active Instagram users were used to test the proposed model, applying the partial least square equation modeling method (SmartPLS 3).

Addiction partially mediates the impact of overuse on emotional fatigue and instastress. Addiction to Instagram was mainly due to respondents’ lack of control over the time spent on it resulting in incapability to reduce its usage.

Social networking site managers, educators, families and public institutions should promote an adequate use of Instagram, making users (especially the young) aware of the potential threats of its excessive usage. The control on the amount of time devoted to Instagram is a key factor for detaining overuse and addiction, as well as avoiding the negative outcomes analyzed in this research.

The findings contribute to the extant knowledge on the negative side of the digitization of the individual, as little is known about it to the best of the authors’ knowledge.

La presente investigación aborda las consecuencias del uso excesivo de Instagram relacionadas con el sentimiento negativo de pérdida de información, cuando no se está conectado, y la fatiga emocional derivada de la sobrecarga de información. El estudio también analiza el papel mediador de la adicción entre el uso excesivo de Instagram y ambas consecuencias.

Para testar el modelo propuesto se utilizó información de 342 usuarios activos de Instagram, aplicándose el método de ecuaciones estructurales por mínimos cuadrados parciales (SmartPLS 3).

La adicción media parcialmente el impacto que el uso excesivo de Instagram tiene sobre (i) la fatiga emocional y (ii) el Instastress. La adicción a Instagram se deriva principalmente de la falta de control del tiempo invertido en su uso, lo que da como resultado su incapacidad para reducir dicho uso.

Los responsables de los medios sociales, los educadores, las familias y las instituciones públicas deberían promover un uso adecuado de Instagram, haciendo que los usuarios (especialmente los más jóvenes) sean conscientes de las amenazas potenciales de su uso excesivo. El control sobre la cantidad de tiempo dedicado a Instagram es un factor clave para detener el uso excesivo y la adicción, así como para evitar los resultados negativos analizados en esta investigación.

Los resultados contribuyen a ampliar el conocimiento sobre el lado negativo de la digitalización del individuo, dada la escasa literatura al respecto.

Adicción, Uso excesivo, Instastress, Fatiga emocional, Redes sociales, Instagram

Artículo de investigación